# Meeting notes 2023-09-15

## Questions/issues

Points:
    - Ensure I am on right track with inclusion criteria at inequality-intervention-outcome nexus

Q:
    - Which format best to start producing annotated bibliography in for end of month
    - Should we include purely qualitative reviews?
        - Capture them (in study screening) and tag accordingly
    - If including gray literature, I would propose specifically highlighting its status (i.e. adding it through footnotes or otherwise distinguish)
    - Some possibilities of avoiding docx for review itself to automate some of its descriptive statistics, etc.

- What is the best way to go about integrating
    - I keep all my notes in the notes folder and zotero library
    - I continuously update a docx file called 'Scoping_Review_WIP.docx'
    - The individual milestones/approved and agreed upon changes are pushed to 'Scoping_Review.docx'

## Updates

- Natassia will work on a variety of indicators etc used
    - e.g. brought forth in ILOStat or LSMS
- proposing policy categorization in 3 dimensions (for extraction of intervention properties):
    - institutional: changing the institutional *environment* of a country/context
        - related to changes in institutions
        - e.g. legal reforms adopted, adoption of supranational agreements (like Child Labour Convention/Recommendation), policies transforming the way of building/constructing/makeup of institutions, policies furthering institutional social protection of workers, ...
    - structural: interventions changing the *structural* conditions for people
        - *can* be related to institutional changes but also to others
        - e.g. looking at the way factors of globalization shapes outcomes; technology adoption (digital transformation or green revolution); changing geographical conditions through new transportation, or access to services; or improving access to for example access to electricity or improving WASH
    - agency/social-norms: related to lowering impact of individual characteristics of persons and empowering them individually
        - e.g. looking at the roots of why women/lgbtq/old people have a harder time finding jobs; policies towards affirmative action
- using all 3 indicators (yesno/boolean) in matrix also enables more intersectional look at policies, by seeing which ones attack issues from variety of angles and e.g. which ones focus on a single one
- should allow to substantiate with solid theory and backing through existing mechanisms identified in literature

## ToDo

- [ ] need to identify terms for further search:
    - [ ] 'definitions of concepts of employment creation'; employment outcomes
        - [ ] e.g. job creation, work creation, workplace creation
    - [ ] find the variety of interventions impacting employment
        - [ ] e.g. infrastructure development, distributive interventions, cash transfer etc
        - [ ] use Miguel introduced 3-dimension categorization for now
- [ ] capture indicator: relative/absolute used in studies (extract)
    - [ ] e.g. diff in total number of jobs per gender (absolute) vs change of job distribution in pct (relative)
    - [ ] many will share pct looks at these
- [ ] capture policy intervention type used (extract):
    - [ ] see above for policy categorization, introduce in extraction list
    - [ ] create small scale-based justification for three clusters
- [ ] create clear inclusion/exclusion criteria on basis of above (esp LM outcomes & policy terms)

- [ ] personally: find exact definitions for:
    - indicators
    - measures
    - ratios
    - and which ones are relative (ratios?) and absolute (measures?) and a comprehensive term (indic.?)